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The Rapid Evolution of the Canonical Stack for Machine Learning
Just a few years ago, almost nobody was building software to support the surge of new machine learning apps coming into production all over the world.  Every big tech company, like Google, Lyft, Microsoft, and Amazon rolled their own AI/ML tech stack from scratch.  See the... Read more
Top 5 Applications of Machine Learning in Healthcare
Machine learning (ML) is a branch of artificial intelligence (AI), where computer systems independently find solutions to complex problems using recurring patterns in databases. Put differently, machine learning helps IT systems to recognize patterns from existing algorithms and datasets, then go ahead and develop appropriate solutions.... Read more
Decoupling Complex Systems with Event Driven Python Programming
We often think about events as ordered points in time that happen one after another, often with some kind of cause-effect relationship. But, in programming, events are often understood a bit differently. They are not necessarily “things that happen.” Events in programming are more often understood... Read more
Concept Drift 101
Our world is constantly changing and what’s considered true and obvious today may not be so tomorrow. This is particularly true in the world of machine learning models. The objective of machine learning models is to extract patterns from past data and use them to predict... Read more
On The Dangers of Stochastic Parrots: Can Language Models Be Too Big?
In March this year, the ACM FAccT conference published the paper titled above, authored by Emily Bender, Timnit Gebru, Angelina McMillan-Major, and “Shmargaret Shmitchell”. This paper attracted intense controversy, and led to the exit of Gebru and Margaret Mitchell (“Shmargaret Shmitchell” in the paper) from the Google AI Ethics team.... Read more
Take the Data Science and Machine Learning Survey
As a practicing data professional, you are in a unique position to help the world better understand the Data Science and Machine Learning landscape. Toward that end, Bob E. Hayes, PhD of Business Over Broadway is conducting a worldwide survey of data professionals; this survey will... Read more
Why Use D3 for Data Visualization?
This is like saying why eat burritos? Because they’re amazing!!! That’s why!!! OK, now some of you may be saying to yourselves, “Bill, I don’t like burritos. You’ve lost me.” First, I’m very sorry for you. Not appreciating burritos may be genetic and I won’t judge... Read more
Discover the Top 10 Trends in Enterprise Machine Learning for 2021
In the past 12 months, there have been myriad developments in the field of AI/ML. Not only have we seen shifts in tooling, security, and governance needs for organizations, but we’ve also witnessed massive changes in the field due to the economic impacts of COVID-19. Every... Read more
The Psychic Syndrome: How the Data Science Community Forgot About the Data
When scrolling through social media in March of this year, I could not help but notice the overwhelming amount of data science projects on COVID-19. At some point, it seemed like all LinkedIn or Twitter consisted of were forecasts of how the pandemic might play out... Read more
Why Personal COVID-19 Vaccination Data Should Remain Private
Earlier this month, it was reported that the Centers for Disease Control and Prevention (CDC) instructed states to sign data use agreements that commit them for the first time to sharing personal information—names, birth dates, ethnicities, and addresses—in existing registries with the federal government. This comes... Read more